Francesco Rinaldi

1.4k total citations
63 papers, 872 citations indexed

About

Francesco Rinaldi is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Francesco Rinaldi has authored 63 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Numerical Analysis, 32 papers in Computational Theory and Mathematics and 15 papers in Computational Mechanics. Recurrent topics in Francesco Rinaldi's work include Advanced Optimization Algorithms Research (35 papers), Sparse and Compressive Sensing Techniques (14 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). Francesco Rinaldi is often cited by papers focused on Advanced Optimization Algorithms Research (35 papers), Sparse and Compressive Sensing Techniques (14 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). Francesco Rinaldi collaborates with scholars based in Italy, United States and Austria. Francesco Rinaldi's co-authors include Stefano Lucidi, Giampaolo Liuzzi, F. Parasiliti, Marco Villani, Marco Sciandrone, Gianni Di Pillo, Fabio Schoen, Immanuel M. Bomze, Matteo Diez and Andrea Serani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Francesco Rinaldi

56 papers receiving 843 citations

Peers

Francesco Rinaldi
Comparison fields: 5 of 91
  • Computational Theory and Mathematics 298
  • Numerical Analysis 276
  • Electrical and Electronic Engineering 254
  • Control and Systems Engineering 185
  • Artificial Intelligence 169
Replace Giampaolo Liuzzi with:
Giampaolo Liuzzi Italy
Volker Rehbock Australia
Youlin Shang China
Matthias Gerdts Germany
Alireza Nazemi Iran
Dmitri E. Kvasov Italy
M.V.C. Rao Malaysia
Zhiyou Wu China
Erling D. Andersen Denmark
Michal Kočvara Czechia
Giampaolo Liuzzi Italy View profile →
Citations per field, relative to Francesco Rinaldi
Francesco Rinaldi · 1×
Citations per year, relative to Francesco Rinaldi
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Countries citing papers authored by Francesco Rinaldi

Since Specialization
Citations

This map shows the geographic impact of Francesco Rinaldi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Rinaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Rinaldi more than expected).

Fields of papers citing papers by Francesco Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Rinaldi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Rinaldi. The network helps show where Francesco Rinaldi may publish in the future.

Co-authorship network of co-authors of Francesco Rinaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Rinaldi. A scholar is included among the top collaborators of Francesco Rinaldi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Rinaldi. Francesco Rinaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
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A Linesearch-based Derivative-free Approach for Nonsmooth Optimization
1
18
Interaction between ticlopidine or warfarin or cardioaspirin with a highly standardized deterpened Ginkgo biloba extract (VR456) in rat and human.
3
19 7
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New concave penalty functions for improving the Feasibility Pump
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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